Extract estimates and confidence intervals for transition intensities (or
misclassification probabilities), and their covariate effects, in a tidy
matrix format with one row per transition. This is used by the print method
(`print.msm`

) for `msm`

objects. Covariate effects are
returned as hazard or odds ratios, not on the log scale.

## Usage

```
msm.form.qoutput(x, covariates = "mean", cl = 0.95, digits = 4, ...)
msm.form.eoutput(x, covariates = "mean", cl = 0.95, digits = 4, ...)
```

## Arguments

- x
A fitted multi-state model object, as returned by

`msm`

.- covariates
Covariate values defining the "baseline" parameters (see

`qmatrix.msm`

).- cl
Width of the symmetric confidence interval to present. Defaults to 0.95.

- digits
Minimum number of significant digits for the formatted character matrix returned as an attribute. This is passed to

`format`

. Defaults to 4.- ...
Other arguments to be passed to

`format`

.

## Value

A numeric matrix with one row per transition, and one column for
each estimate or confidence limit. The `"formatted"`

attribute
contains the same results formatted for pretty printing.
`msm.form.qoutput`

returns the transition intensities and their
covariates, and `msm.form.eoutput`

returns the misclassification
probabilities and their covariates.

## Author

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk